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Emissions Scenarios - IPCC

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An Overview of the Scenario Literature 91<br />

other trends discussed in this chapter, increases are generally<br />

modest; numerous scenarios even depict a long-term decline in<br />

emissions. Thus, SO2 emissions are invariably projected to be<br />

decoupled progressively from their underlying driving forces of<br />

increases in population and economic activity, and hence<br />

energy demand. The median across all scenarios indicates a<br />

gradual increase of some 22% over 1990 levels by 2050, and a<br />

return to 1990 levels by 2100. Only two scenarios exceed the<br />

range of increases in long-term SO, emissions spanned by the<br />

IS92 scenario series.<br />

0.5 1 1.5 2 2.5 3 3.5 4 4.5 5<br />

Range (index, 1990=1)<br />

9 12 15 18 21 24 27 30 33 36 39<br />

Range<br />

(GtC)<br />

Figure 2-2b: Histogram sliowing tlie frequency distribution<br />

of global CO2 emissions in 2100 for 190 scenarios. The first<br />

horizontal axis shows indexed emissions (1990 = I); the<br />

second axis indicates approximate absolute values by<br />

multiplying the index by the 1990 value (5.9 GtC, see<br />

footnote 4). For reference, the emissions of the IS92<br />

scenarios are indicated. The horizontal bars indicate the<br />

ranges for the intervention, non-intervention and nonclassified<br />

scenario samples respectively. The frequency<br />

distribution associated with scenarios from the literature does<br />

not imply probability of occurrence.<br />

2.43. Sulfur Dioxide <strong>Emissions</strong><br />

An overview of global long-term scenarios of SOj emissions is<br />

shown in Figure 2-3. Altogether 81 scenarios in the scenario<br />

database report SOj emissions. Most scenarios were published<br />

after 1995, which indicates the importance of the influential<br />

and innovative emissions included in the previous IFCC<br />

scenario series IS92 (Pepper et al, 1992). Apparently, they<br />

stimulated research on long-term frends and impacts of SOj<br />

emissions.<br />

The 1990 base-year emissions estimates in the database range<br />

from 55 to 91 megatons of sulfur (MtS), a seemingly large<br />

difference that can be explained partially by the different extent<br />

of coverage of SOj emissions in different models and scenario<br />

studies, in addition to uncertainties in emissions factors.<br />

Typically, lower range emissions derive from models that report<br />

only (the dominant) energy sector emissions, higher ranges also<br />

include other anthropogenic sources such as SO2 emissions<br />

from métallurgie processes. Differences in 1990 base-year<br />

values across scenario studies and a review of available SO2<br />

emissions inventories are discussed in more detail in Chapter 3.<br />

Indexed to a common 1990 basis, future SO2 emissions trends<br />

reveal a number of remarkable characteristics. Fhst, contrary to<br />

A detailed review of long-term global and regional SO2<br />

emissions scenarios is given in Grübler (1998) and is<br />

summarized in Chapter 3. The most important new finding<br />

from the scenario literature is recognition of the significant<br />

impacts of continued unabated high SO2 emissions on human<br />

health, food production, and ecosystems. As a resuh, scenarios<br />

published since 1995 all assume various degrees of SO2<br />

emissions control and interventions to be implemented in the<br />

future, and are thus substantially lower than previous<br />

projections, including the IS92 series. In most of these<br />

scenarios, such low levels of SO^ emissions are not simply the<br />

result of direct SOj emissions control measures, such as flue<br />

gas desulfurization. They also result from other interventions<br />

in which SO2 emissions reduction is more a secondary benefit<br />

than a primary goal (e.g., structural changes for various reasons<br />

other than SO2 control).<br />

2.4.4. Population Projection Ranges<br />

Population is one of the fundamental driving forces of future<br />

emissions. Most models used to formulate population<br />

projections for the emissions scenarios are taken from the<br />

literature and are exogenous inputs. Today three main research<br />

groups project global population - United Nations (UN, 1998,<br />

1999), World Bank (Bos and Vu, 1994), and IIASA (Lutz et al,<br />

1997). (For more details see the discussion in Chapter 3.) Most<br />

of the "central" population projections lead to a doubling of<br />

global population by 2100 (to about 10 billion people<br />

compared to 5.3 billion in 1990). In recent years the central<br />

population projections for the year 2100 have declined<br />

somewhat, but are still in line with a doubling by 2100. For<br />

example, the latest UN (1998) medium-low and medium-high<br />

projections indicate a range of between 7.2 and 14.6 bilUon<br />

people by 2100, with the medium scenario at 10.4 billion. The<br />

IIASA central estimate for 2100 is also 10.4 bilUon, with a<br />

95% probability that world population would exceed six and be<br />

lower than 17 bilUon (Lutz et al, 1997).<br />

While all scenarios require some kind of population<br />

assumptions, relatively few are reported explicitly in the SRES<br />

database. Figure 2-4 illustrates global population projections in<br />

the database. Of the 416 scenarios currently documented, only<br />

46 report their underlying population projections. This limited<br />

number indicates that, even though population is an extremely<br />

important driving force for emissions, it is typically either not<br />

reported or not well explored in most models. For the small

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